O'Reilly on Data

MARCH 31, 2020

For machine learning systems used in consumer internet companies, near continuous retraining happens throughout the day, processing billions of new input-output pairs. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

SEPTEMBER 22, 2022

Deeper digital transformation can help companies better deal with uncertainties.”. Bob Chen points out that data ingestion, transmission, storage, and analysis are key steps in digital transformation. per year over 2022 to 2024. We are entering the fourth industrial revolution, where menial office tasks will be carried out by machines.

Technology 52

Technology Digital Transformation Broadcasting Uncertainty 52

Rocket-Powered Data Science

MAY 21, 2024

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g.,

Cost-Benefit 225

Cost-Benefit Unstructured Data Enterprise Technology 225

Domino Data Lab

JULY 22, 2019

We’ve got this complex landscape, tons of data sharing, an economy of data, external data, tons of mobile devices. and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. You can take TensorFlow.js How could that make sense?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JUNE 23, 2019

It used deep learning to build an automated question answering system and a knowledge base based on that information. It is like the Google knowledge graph with all those smart, intelligent cards and the ability to create your own cards out of your own data.

Management 110

Management Machine Learning Experimentation Metrics 110